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Open source code for the Android App #512

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ceagre2 opened this issue Dec 31, 2023 · 3 comments
Closed
1 task done

Open source code for the Android App #512

ceagre2 opened this issue Dec 31, 2023 · 3 comments
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enhancement New feature or request

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@ceagre2
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ceagre2 commented Dec 31, 2023

Search before asking

  • I have searched the HUB issues and found no similar feature requests.

Description

open codes in java for android

Use case

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Additional

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@ceagre2 ceagre2 added the enhancement New feature or request label Dec 31, 2023
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👋 Hello @ceagre2, thank you for raising an issue about Ultralytics HUB 🚀! Please visit our HUB Docs to learn more:

  • Quickstart. Start training and deploying YOLO models with HUB in seconds.
  • Datasets: Preparing and Uploading. Learn how to prepare and upload your datasets to HUB in YOLO format.
  • Projects: Creating and Managing. Group your models into projects for improved organization.
  • Models: Training and Exporting. Train YOLOv5 and YOLOv8 models on your custom datasets and export them to various formats for deployment.
  • Integrations. Explore different integration options for your trained models, such as TensorFlow, ONNX, OpenVINO, CoreML, and PaddlePaddle.
  • Ultralytics HUB App. Learn about the Ultralytics App for iOS and Android, which allows you to run models directly on your mobile device.
    • iOS. Learn about YOLO CoreML models accelerated on Apple's Neural Engine on iPhones and iPads.
    • Android. Explore TFLite acceleration on mobile devices.
  • Inference API. Understand how to use the Inference API for running your trained models in the cloud to generate predictions.

If this is a 🐛 Bug Report, please provide screenshots and steps to reproduce your problem to help us get started working on a fix.

If this is a ❓ Question, please provide as much information as possible, including dataset, model, environment details etc. so that we might provide the most helpful response.

We try to respond to all issues as promptly as possible. Thank you for your patience!

@UltralyticsAssistant
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@ceagre2 hello there,

Thank you for reaching out and for having looked through the issues on the HUB repository first. If I understand correctly, you're seeking Java-based implementations of our HUB functionalities for Android development.

Currently, the Ultralytics HUB is focused on providing tools and models primarily in Python, as that is widely used in the machine learning community. For Android or Java applications, developers often leverage the appropriate wrappers or API calls to interact with Python-based backends.

If you're looking to integrate HUB functionalities into an Android app, a common approach is to create a backend service that utilizes our HUB, which your Java-based Android app can communicate with via HTTP requests.

For specific execution guidelines and how you might adapt the HUB resources for your Android use case, our documentation could provide some high-level insights: https://docs.ultralytics.com/hub. It won't have Java code, but it can give you a deeper understanding of general usage patterns which might assist in architecting your solution.

Best of luck with your project! 🚀

— Your Ultralytics HUB Support Team

@kalenmike
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@ceagre2 Thank you for your submission. At the moment we do not have any plans to release Java code for Android. We are working to open source our current app code and when it is ready you will have access to that in CPP.

@kalenmike kalenmike changed the title ultralicts Open source code for the Android App Jan 11, 2024
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